Hello,
I have an array like:
array([[-1. , 2. ],
[-0.5, 4. ],
[ 0.5, 6. ]])
first row are coordinates, second row is data.
Is there a scipy/numpy way to find zero from the first row and interpolate a
data value from the second row?
Here I the result would be 5 ( 4 + (6-4)/( 0.5 - (-0.5)) * 0.5 )
How would this best be done with scipy/numpy?
Thanks,
Florian